Oncel Tuzel

160 papers A* 37A 6B 2Misc 8Journal 81Unranked 26
YearRankTypeTitle / Venue / Authors
2026 J jnl
ASTRA-bench: Evaluating Tool-Use Agent Reasoning and Action Planning with Personal User Context.
CoRR
Zidi Xiu, David Q. Sun, Kevin Cheng, Maitrik Patel, Josh Date, Yizhe Zhang, Jiarui Lu, Omar Attia, Raviteja Vemulapalli, Oncel Tuzel, Meng Cao, Samy Bengio
2026 — conf
Beyond a Single Extractor: Re-thinking HTML-to-Text Extraction for LLM Pre-training.
EACL (Findings)
Jeffrey Li, Joshua P. Gardner, Doug Kang, Fangping Shi, Karanjeet Singh, Chun-Liang Li, Herumb Shandilya, David Leo Wright Hall, Oncel Tuzel, Percy Liang, Ludwig Schmidt, Hadi Pouransari, Fartash Faghri
2026 J jnl
Beyond a Single Extractor: Re-thinking HTML-to-Text Extraction for LLM Pretraining.
CoRR
Jeffrey Li, Josh Gardner, Doug Kang, Fangping Shi, Karanjeet Singh, Chun-Liang Li, Herumb Shandilya, David Hall, Oncel Tuzel, Percy Liang, Ludwig Schmidt, Hadipour Ansari, Fartash Faghri
2026 J jnl
LiTo: Surface Light Field Tokenization.
CoRR
Jen-Hao Rick Chang, Xiaoming Zhao, Dorian Chan, Oncel Tuzel
2026 J jnl
RayRoPE: Projective Ray Positional Encoding for Multi-view Attention.
CoRR
Yu Wu, Minsik Jeon, Jen-Hao Rick Chang, Oncel Tuzel, Shubham Tulsiani
2026 J jnl
TrajTok: Learning Trajectory Tokens enables better Video Understanding.
CoRR
Chenhao Zheng, Jieyu Zhang, Jianing Zhang, Weikai Huang, Ashutosh Kumar, Quan Kong, Oncel Tuzel, Chun-Liang Li, Ranjay Krishna
2025 J jnl
AMUSE: Audio-Visual Benchmark and Alignment Framework for Agentic Multi-Speaker Understanding.
CoRR
Sanjoy Chowdhury, Karren D. Yang, Xudong Liu, Fartash Faghri, Pavan Kumar Anasosalu Vasu, Oncel Tuzel, Dinesh Manocha, Chun-Liang Li, Raviteja Vemulapalli
2025 A* conf
FastVLM: Efficient Vision Encoding for Vision Language Models.
CVPR
Pavan Kumar Anasosalu Vasu, Fartash Faghri, Chun-Liang Li, Cem Koc, Nate True, Albert Antony, Gokula Santhanam, James Gabriel, Peter Grasch, Oncel Tuzel, Hadi Pouransari
2025 J jnl
FocalLens: Instruction Tuning Enables Zero-Shot Conditional Image Representations.
CoRR
Cheng-Yu Hsieh, Pavan Kumar Anasosalu Vasu, Fartash Faghri, Raviteja Vemulapalli, Chun-Liang Li, Ranjay Krishna, Oncel Tuzel, Hadi Pouransari
2025 A* conf
GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language Models.
ICLR
Iman Mirzadeh, Keivan Alizadeh, Hooman Shahrokhi, Oncel Tuzel, Samy Bengio, Mehrdad Farajtabar
2025 J jnl
Learning from Self Critique and Refinement for Faithful LLM Summarization.
CoRR
Ting-Yao Hu, Hema Swetha Koppula, Hadi Pouransari, Cem Koc, Oncel Tuzel, Raviteja Vemulapalli
2025 J jnl
Learning to Reason for Hallucination Span Detection.
CoRR
Hsuan Su, Ting-Yao Hu, Hema Swetha Koppula, Kundan Krishna, Hadi Pouransari, Cheng-Yu Hsieh, Cem Koc, Joseph Yitan Cheng, Oncel Tuzel, Raviteja Vemulapalli
2025 J jnl
MobileCLIP2: Improving Multi-Modal Reinforced Training.
CoRR
Fartash Faghri, Pavan Kumar Anasosalu Vasu, Cem Koc, Vaishaal Shankar, Alexander Toshev, Oncel Tuzel, Hadi Pouransari
2025 J jnl
MobileCLIP2: Improving Multi-Modal Reinforced Training.
Trans. Mach. Learn. Res.
Fartash Faghri, Pavan Kumar Anasosalu Vasu, Cem Koc, Vaishaal Shankar, Alexander T. Toshev, Oncel Tuzel, Hadi Pouransari
2025 — conf
Mutual Reinforcement of LLM Dialogue Synthesis and Summarization Capabilities for Few-Shot Dialogue Summarization.
NAACL (Findings)
Yen-Ju Lu, Ting-Yao Hu, Hema Swetha Koppula, Hadi Pouransari, Jen-Hao Rick Chang, Yin Xia, Xiang Kong, Qi Zhu, Simon Wang, Oncel Tuzel, Raviteja Vemulapalli
2025 J jnl
Mutual Reinforcement of LLM Dialogue Synthesis and Summarization Capabilities for Few-Shot Dialogue Summarization.
CoRR
Yen-Ju Lu, Ting-Yao Hu, Hema Swetha Koppula, Hadi Pouransari, Jen-Hao Rick Chang, Yin Xia, Xiang Kong, Qi Zhu, Simon Wang, Oncel Tuzel, Raviteja Vemulapalli
2025 J jnl
Pretraining with hierarchical memories: separating long-tail and common knowledge.
CoRR
Hadi Pouransari, David Grangier, C. Thomas, Michael Kirchhof, Oncel Tuzel
2025 A* conf
Proxy-FDA: Proxy-based Feature Distribution Alignment for Fine-tuning Vision Foundation Models without Forgetting.
ICML
Chen Huang, Skyler Seto, Hadi Pouransari, Mehrdad Farajtabar, Raviteja Vemulapalli, Fartash Faghri, Oncel Tuzel, Barry-John Theobald, Joshua M. Susskind
2025 J jnl
Proxy-FDA: Proxy-based Feature Distribution Alignment for Fine-tuning Vision Foundation Models without Forgetting.
CoRR
Chen Huang, Skyler Seto, Hadi Pouransari, Mehrdad Farajtabar, Raviteja Vemulapalli, Fartash Faghri, Oncel Tuzel, Barry-John Theobald, Joshua M. Susskind
2025 J jnl
Synth4Seg - Learning Defect Data Synthesis for Defect Segmentation Using Bi-Level Optimization.
IEEE Trans Autom. Sci. Eng.
Shancong Mou, Raviteja Vemulapalli, Shiyu Li, Yuxuan Liu, C. Thomas, Meng Cao, Haoping Bai, Oncel Tuzel, Ping Huang, Jiulong Shan, Jianjun Shi
2025 — conf
TiC-LM: A Web-Scale Benchmark for Time-Continual LLM Pretraining.
ACL (1)
Jeffrey Li, Mohammadreza Armandpour, Iman Mirzadeh, Sachin Mehta, Vaishaal Shankar, Raviteja Vemulapalli, Samy Bengio, Oncel Tuzel, Mehrdad Farajtabar, Hadi Pouransari, Fartash Faghri
2025 J jnl
TiC-LM: A Web-Scale Benchmark for Time-Continual LLM Pretraining.
CoRR
Jeffrey Li, Mohammadreza Armandpour, Iman Mirzadeh, Sachin Mehta, Vaishaal Shankar, Raviteja Vemulapalli, Samy Bengio, Oncel Tuzel, Mehrdad Farajtabar, Hadi Pouransari, Fartash Faghri
2024 J jnl
3D Shape Tokenization.
CoRR
Jen-Hao Rick Chang, Yuyang Wang, Miguel Ángel Bautista, Jiatao Gu, Joshua M. Susskind, Oncel Tuzel
2024 J jnl
CLIP meets Model Zoo Experts: Pseudo-Supervision for Visual Enhancement.
Trans. Mach. Learn. Res.
Mohammadreza Salehi, Mehrdad Farajtabar, Maxwell Horton, Fartash Faghri, Hadi Pouransari, Raviteja Vemulapalli, Oncel Tuzel, Ali Farhadi, Mohammad Rastegari, Sachin Mehta
2024 J jnl
CLIP with Quality Captions: A Strong Pretraining for Vision Tasks.
CoRR
Pavan Kumar Anasosalu Vasu, Hadi Pouransari, Fartash Faghri, Oncel Tuzel
2024 J jnl
CatLIP: CLIP-level Visual Recognition Accuracy with 2.7x Faster Pre-training on Web-scale Image-Text Data.
CoRR
Sachin Mehta, Maxwell Horton, Fartash Faghri, Mohammad Hossein Sekhavat, Mahyar Najibi, Mehrdad Farajtabar, Oncel Tuzel, Mohammad Rastegari
2024 Misc conf
Corpus Synthesis for Zero-Shot ASR Domain Adaptation Using Large Language Models.
ICASSP
Hsuan Su, Ting-Yao Hu, Hema Swetha Koppula, Raviteja Vemulapalli, Jen-Hao Rick Chang, Karren D. Yang, Gautam Varma Mantena, Oncel Tuzel
2024 A* conf
Dataset Decomposition: Faster LLM Training with Variable Sequence Length Curriculum.
NeurIPS
Hadi Pouransari, Chun-Liang Li, Jen-Hao Rick Chang, Pavan Kumar Anasosalu Vasu, Cem Koc, Vaishaal Shankar, Oncel Tuzel
2024 J jnl
Dataset Decomposition: Faster LLM Training with Variable Sequence Length Curriculum.
CoRR
Hadi Pouransari, Chun-Liang Li, Jen-Hao Rick Chang, Pavan Kumar Anasosalu Vasu, Cem Koc, Vaishaal Shankar, Oncel Tuzel
2024 J jnl
FastVLM: Efficient Vision Encoding for Vision Language Models.
CoRR
Pavan Kumar Anasosalu Vasu, Fartash Faghri, Chun-Liang Li, Cem Koc, Nate True, Albert Antony, Gokula Santhanam, James Gabriel, Peter Grasch, Oncel Tuzel, Hadi Pouransari
2024 J jnl
GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language Models.
CoRR
Iman Mirzadeh, Keivan Alizadeh, Hooman Shahrokhi, Oncel Tuzel, Samy Bengio, Mehrdad Farajtabar
2024 J jnl
Graph-Based Captioning: Enhancing Visual Descriptions by Interconnecting Region Captions.
CoRR
Yu-Guan Hsieh, Cheng-Yu Hsieh, Shih-Ying Yeh, Louis Béthune, Hadipour Ansari, Pavan Kumar Anasosalu Vasu, Chun-Liang Li, Ranjay Krishna, Oncel Tuzel, Marco Cuturi
2024 A* conf
HUGS: Human Gaussian Splats.
CVPR
Muhammed Kocabas, Jen-Hao Rick Chang, James Gabriel, Oncel Tuzel, Anurag Ranjan
2024 A* conf
Knowledge Transfer from Vision Foundation Models for Efficient Training of Small Task-specific Models.
ICML
Raviteja Vemulapalli, Hadi Pouransari, Fartash Faghri, Sachin Mehta, Mehrdad Farajtabar, Mohammad Rastegari, Oncel Tuzel
2024 — conf
MUSCLE: A Model Update Strategy for Compatible LLM Evolution.
EMNLP (Findings)
Jessica Maria Echterhoff, Fartash Faghri, Raviteja Vemulapalli, Ting-Yao Hu, Chun-Liang Li, Oncel Tuzel, Hadi Pouransari
2024 J jnl
MUSCLE: A Model Update Strategy for Compatible LLM Evolution.
CoRR
Jessica Maria Echterhoff, Fartash Faghri, Raviteja Vemulapalli, Ting-Yao Hu, Chun-Liang Li, Oncel Tuzel, Hadi Pouransari
2024 A* conf
MobileCLIP: Fast Image-Text Models through Multi-Modal Reinforced Training.
CVPR
Pavan Kumar Anasosalu Vasu, Hadi Pouransari, Fartash Faghri, Raviteja Vemulapalli, Oncel Tuzel
2024 A conf
Novel-view Acoustic Synthesis From 3D Reconstructed Rooms.
INTERSPEECH
Byeongjoo Ahn, Karren D. Yang, Brian Hamilton, Jonathan Sheaffer, Anurag Ranjan, Miguel Sarabia, Oncel Tuzel, Jen-Hao Rick Chang
2024 A* conf
Probabilistic Speech-Driven 3D Facial Motion Synthesis: New Benchmarks, Methods, and Applications.
CVPR
Karren D. Yang, Anurag Ranjan, Jen-Hao Rick Chang, Raviteja Vemulapalli, Oncel Tuzel
2024 A* conf
ReLU Strikes Back: Exploiting Activation Sparsity in Large Language Models.
ICLR
Iman Mirzadeh, Keivan Alizadeh-Vahid, Sachin Mehta, Carlo C. del Mundo, Oncel Tuzel, Golnoosh Samei, Mohammad Rastegari, Mehrdad Farajtabar
2024 — conf
SAM-CLIP: Merging Vision Foundation Models towards Semantic and Spatial Understanding.
CVPR Workshops
Haoxiang Wang, Pavan Kumar Anasosalu Vasu, Fartash Faghri, Raviteja Vemulapalli, Mehrdad Farajtabar, Sachin Mehta, Mohammad Rastegari, Oncel Tuzel, Hadi Pouransari
2024 J jnl
Synth4Seg - Learning Defect Data Synthesis for Defect Segmentation using Bi-level Optimization.
CoRR
Shancong Mou, Raviteja Vemulapalli, Shiyu Li, Yuxuan Liu, C. Thomas, Meng Cao, Haoping Bai, Oncel Tuzel, Ping Huang, Jiulong Shan, Jianjun Shi
2024 A* conf
TiC-CLIP: Continual Training of CLIP Models.
ICLR
Saurabh Garg, Mehrdad Farajtabar, Hadi Pouransari, Raviteja Vemulapalli, Sachin Mehta, Oncel Tuzel, Vaishaal Shankar, Fartash Faghri
2023 J jnl
CLIP meets Model Zoo Experts: Pseudo-Supervision for Visual Enhancement.
CoRR
Mohammadreza Salehi, Mehrdad Farajtabar, Maxwell Horton, Fartash Faghri, Hadi Pouransari, Raviteja Vemulapalli, Oncel Tuzel, Ali Farhadi, Mohammad Rastegari, Sachin Mehta
2023 J jnl
Corpus Synthesis for Zero-shot ASR domain Adaptation using Large Language Models.
CoRR
Hsuan Su, Ting-Yao Hu, Hema Swetha Koppula, Raviteja Vemulapalli, Jen-Hao Rick Chang, Karren D. Yang, Gautam Varma Mantena, Oncel Tuzel
2023 A* conf
FaceLit: Neural 3D Relightable Faces.
CVPR
Anurag Ranjan, Kwang Moo Yi, Jen-Hao Rick Chang, Oncel Tuzel
2023 J jnl
FaceLit: Neural 3D Relightable Faces.
CoRR
Anurag Ranjan, Kwang Moo Yi, Jen-Hao Rick Chang, Oncel Tuzel
2023 A* conf
FastFill: Efficient Compatible Model Update.
ICLR
Florian Jaeckle, Fartash Faghri, Ali Farhadi, Oncel Tuzel, Hadi Pouransari
2023 J jnl
FastFill: Efficient Compatible Model Update.
CoRR
Florian Jaeckle, Fartash Faghri, Ali Farhadi, Oncel Tuzel, Hadi Pouransari
2023 A* conf
FastViT: A Fast Hybrid Vision Transformer using Structural Reparameterization.
ICCV
Pavan Kumar Anasosalu Vasu, James Gabriel, Jeff Zhu, Oncel Tuzel, Anurag Ranjan
2023 J jnl
FastViT: A Fast Hybrid Vision Transformer using Structural Reparameterization.
CoRR
Pavan Kumar Anasosalu Vasu, James Gabriel, Jeff Zhu, Oncel Tuzel, Anurag Ranjan
2023 J jnl
HUGS: Human Gaussian Splats.
CoRR
Muhammed Kocabas, Jen-Hao Rick Chang, James Gabriel, Oncel Tuzel, Anurag Ranjan
2023 Misc conf
I See What You Hear: A Vision-Inspired Method to Localize Words.
ICASSP
Mohammad Samragh, Arnav Kundu, Ting-Yao Hu, Aman Chadha, Ashish Srivastava, Minsik Cho, Oncel Tuzel, Devang Naik
2023 J jnl
Label-efficient Training of Small Task-specific Models by Leveraging Vision Foundation Models.
CoRR
Raviteja Vemulapalli, Hadi Pouransari, Fartash Faghri, Sachin Mehta, Mehrdad Farajtabar, Mohammad Rastegari, Oncel Tuzel
2023 J jnl
MobileCLIP: Fast Image-Text Models through Multi-Modal Reinforced Training.
CoRR
Pavan Kumar Anasosalu Vasu, Hadi Pouransari, Fartash Faghri, Raviteja Vemulapalli, Oncel Tuzel
2023 A* conf
MobileOne: An Improved One millisecond Mobile Backbone.
CVPR
Pavan Kumar Anasosalu Vasu, James Gabriel, Jeff Zhu, Oncel Tuzel, Anurag Ranjan
2023 J jnl
Novel-View Acoustic Synthesis from 3D Reconstructed Rooms.
CoRR
Byeongjoo Ahn, Karren D. Yang, Brian Hamilton, Jonathan Sheaffer, Anurag Ranjan, Miguel Sarabia, Oncel Tuzel, Jen-Hao Rick Chang
2023 A* conf
Pointersect: Neural Rendering with Cloud-Ray Intersection.
CVPR
Jen-Hao Rick Chang, Wei-Yu Chen, Anurag Ranjan, Kwang Moo Yi, Oncel Tuzel
2023 J jnl
Pointersect: Neural Rendering with Cloud-Ray Intersection.
CoRR
Jen-Hao Rick Chang, Wei-Yu Chen, Anurag Ranjan, Kwang Moo Yi, Oncel Tuzel
2023 J jnl
Probabilistic Speech-Driven 3D Facial Motion Synthesis: New Benchmarks, Methods, and Applications.
CoRR
Karren D. Yang, Anurag Ranjan, Jen-Hao Rick Chang, Raviteja Vemulapalli, Oncel Tuzel
2023 J jnl
ReLU Strikes Back: Exploiting Activation Sparsity in Large Language Models.
CoRR
Iman Mirzadeh, Keivan Alizadeh, Sachin Mehta, Carlo C. del Mundo, Oncel Tuzel, Golnoosh Samei, Mohammad Rastegari, Mehrdad Farajtabar
2023 A* conf
Reinforce Data, Multiply Impact: Improved Model Accuracy and Robustness with Dataset Reinforcement.
ICCV
Fartash Faghri, Hadi Pouransari, Sachin Mehta, Mehrdad Farajtabar, Ali Farhadi, Mohammad Rastegari, Oncel Tuzel
2023 J jnl
Reinforce Data, Multiply Impact: Improved Model Accuracy and Robustness with Dataset Reinforcement.
CoRR
Fartash Faghri, Hadi Pouransari, Sachin Mehta, Mehrdad Farajtabar, Ali Farhadi, Mohammad Rastegari, Oncel Tuzel
2023 J jnl
SAM-CLIP: Merging Vision Foundation Models towards Semantic and Spatial Understanding.
CoRR
Haoxiang Wang, Pavan Kumar Anasosalu Vasu, Fartash Faghri, Raviteja Vemulapalli, Mehrdad Farajtabar, Sachin Mehta, Mohammad Rastegari, Oncel Tuzel, Hadi Pouransari
2023 J jnl
Text is All You Need: Personalizing ASR Models using Controllable Speech Synthesis.
CoRR
Karren D. Yang, Ting-Yao Hu, Jen-Hao Rick Chang, Hema Swetha Koppula, Oncel Tuzel
2023 Misc conf
Text is all You Need: Personalizing ASR Models Using Controllable Speech Synthesis.
ICASSP
Karren D. Yang, Ting-Yao Hu, Jen-Hao Rick Chang, Hema Swetha Koppula, Oncel Tuzel
2023 J jnl
TiC-CLIP: Continual Training of CLIP Models.
CoRR
Saurabh Garg, Mehrdad Farajtabar, Hadi Pouransari, Raviteja Vemulapalli, Sachin Mehta, Oncel Tuzel, Vaishaal Shankar, Fartash Faghri
2023 A conf
Token Pooling in Vision Transformers for Image Classification.
WACV
Dmitrii Marin, Jen-Hao Rick Chang, Anurag Ranjan, Anish Prabhu, Mohammad Rastegari, Oncel Tuzel
2023 J jnl
VISION Datasets: A Benchmark for Vision-based InduStrial InspectiON.
CoRR
Haoping Bai, Shancong Mou, Tatiana Likhomanenko, Ramazan Gokberk Cinbis, Oncel Tuzel, Ping Huang, Jiulong Shan, Jianjun Shi, Meng Cao
2023 J jnl
Weight subcloning: direct initialization of transformers using larger pretrained ones.
CoRR
Mohammad Samragh, Mehrdad Farajtabar, Sachin Mehta, Raviteja Vemulapalli, Fartash Faghri, Devang Naik, Oncel Tuzel, Mohammad Rastegari
2022 J jnl
APE: Aligning Pretrained Encoders to Quickly Learn Aligned Multimodal Representations.
CoRR
Elan Rosenfeld, Preetum Nakkiran, Hadi Pouransari, Oncel Tuzel, Fartash Faghri
2022 J jnl
An Improved One millisecond Mobile Backbone.
CoRR
Pavan Kumar Anasosalu Vasu, James Gabriel, Jeff Zhu, Oncel Tuzel, Anurag Ranjan
2022 Misc conf
Data Incubation - Synthesizing Missing Data for Handwriting Recognition.
ICASSP
Jen-Hao Rick Chang, Martin Bresler, Youssouf Chherawala, Adrien Delaye, Thomas Deselaers, Ryan S. Dixon, Oncel Tuzel
2022 A* conf
Forward Compatible Training for Large-Scale Embedding Retrieval Systems.
CVPR
Vivek Ramanujan, Pavan Kumar Anasosalu Vasu, Ali Farhadi, Oncel Tuzel, Hadi Pouransari
2022 J jnl
I see what you hear: a vision-inspired method to localize words.
CoRR
Mohammad Samragh, Arnav Kundu, Ting-Yao Hu, Minsik Cho, Aman Chadha, Ashish Shrivastava, Oncel Tuzel, Devang Naik
2022 — conf
NeuMan: Neural Human Radiance Field from a Single Video.
ECCV (32)
Wei Jiang, Kwang Moo Yi, Golnoosh Samei, Oncel Tuzel, Anurag Ranjan
2022 J jnl
NeuMan: Neural Human Radiance Field from a Single Video.
CoRR
Wei Jiang, Kwang Moo Yi, Golnoosh Samei, Oncel Tuzel, Anurag Ranjan
2022 J jnl
RangeAugment: Efficient Online Augmentation with Range Learning.
CoRR
Sachin Mehta, Saeid Naderiparizi, Fartash Faghri, Maxwell Horton, Lailin Chen, Ali Farhadi, Oncel Tuzel, Mohammad Rastegari
2022 Misc conf
SYNT++: Utilizing Imperfect Synthetic Data to Improve Speech Recognition.
ICASSP
Ting-Yao Hu, Mohammadreza Armandpour, Ashish Shrivastava, Jen-Hao Rick Chang, Hema Koppula, Oncel Tuzel
2022 A* conf
Style Equalization: Unsupervised Learning of Controllable Generative Sequence Models.
ICML
Jen-Hao Rick Chang, Ashish Shrivastava, Hema Koppula, Xiaoshuai Zhang, Oncel Tuzel
2021 J jnl
Data Incubation - Synthesizing Missing Data for Handwriting Recognition.
CoRR
Jen-Hao Rick Chang, Martin Bresler, Youssouf Chherawala, Adrien Delaye, Thomas Deselaers, Ryan S. Dixon, Oncel Tuzel
2021 — conf
Extracurricular Learning: Knowledge Transfer Beyond Empirical Distribution.
CVPR Workshops
Hadi Pouransari, Mojan Javaheripi, Vinay Sharma, Oncel Tuzel
2021 J jnl
Forward Compatible Training for Representation Learning.
CoRR
Vivek Ramanujan, Pavan Kumar Anasosalu Vasu, Ali Farhadi, Oncel Tuzel, Hadi Pouransari
2021 — conf
Implicit vs. Explicit Style Transfer? A Comparison of GAN Architectures for Continuous Path Keyboard Input Modeling.
EUSIPCO
Akash Mehra, Jerome R. Bellegarda, Ojas Bapat, Hema Koppula, Jen-Hao Rick Chang, Ashish Shrivastava, Oncel Tuzel
2021 J jnl
Instance-Level Task Parameters: A Robust Multi-task Weighting Framework.
CoRR
Pavan Kumar Anasosalu Vasu, Shreyas Saxena, Oncel Tuzel
2021 Misc conf
Optimize What Matters: Training DNN-Hmm Keyword Spotting Model Using End Metric.
ICASSP
Ashish Shrivastava, Arnav Kundu, Chandra Dhir, Devang Naik, Oncel Tuzel
2021 Misc conf
SapAugment: Learning A Sample Adaptive Policy for Data Augmentation.
ICASSP
Ting-Yao Hu, Ashish Shrivastava, Jen-Hao Rick Chang, Hema Koppula, Stefan Braun, Kyuyeon Hwang, Ozlem Kalinli, Oncel Tuzel
2021 J jnl
Style Equalization: Unsupervised Learning of Controllable Generative Sequence Models.
CoRR
Jen-Hao Rick Chang, Ashish Shrivastava, Hema Swetha Koppula, Xiaoshuai Zhang, Oncel Tuzel
2021 J jnl
Synt++: Utilizing Imperfect Synthetic Data to Improve Speech Recognition.
CoRR
Ting-Yao Hu, Mohammadreza Armandpour, Ashish Shrivastava, Jen-Hao Rick Chang, Hema Koppula, Oncel Tuzel
2021 J jnl
Token Pooling in Vision Transformers.
CoRR
Dmitrii Marin, Jen-Hao Rick Chang, Anurag Ranjan, Anish Prabhu, Mohammad Rastegari, Oncel Tuzel
2020 J jnl
Extracurricular Learning: Knowledge Transfer Beyond Empirical Distribution.
CoRR
Hadi Pouransari, Oncel Tuzel
2020 — conf
Least squares binary quantization of neural networks.
CVPR Workshops
Hadi Pouransari, Zhucheng Tu, Oncel Tuzel
2020 J jnl
Least squares binary quantization of neural networks.
CoRR
Hadi Pouransari, Oncel Tuzel
2020 J jnl
Optimize what matters: Training DNN-HMM Keyword Spotting Model Using End Metric.
CoRR
Ashish Shrivastava, Arnav Kundu, Chandra Dhir, Devang Naik, Oncel Tuzel
2020 J jnl
SapAugment: Learning A Sample Adaptive Policy for Data Augmentation.
CoRR
Ting-Yao Hu, Ashish Shrivastava, Jen-Hao Rick Chang, Hema Koppula, Stefan Braun, Kyuyeon Hwang, Ozlem Kalinli, Oncel Tuzel
2020 J jnl
Subject-Aware Contrastive Learning for Biosignals.
CoRR
Joseph Y. Cheng, Hanlin Goh, Kaan Dogrusoz, Oncel Tuzel, Erdrin Azemi
2020 Misc conf
Unsupervised Style and Content Separation by Minimizing Mutual Information for Speech Synthesis.
ICASSP
Ting-Yao Hu, Ashish Shrivastava, Oncel Tuzel, Chandra Dhir
2020 J jnl
Unsupervised Style and Content Separation by Minimizing Mutual Information for Speech Synthesis.
CoRR
Ting-Yao Hu, Ashish Shrivastava, Oncel Tuzel, Chandra Dhir
2019 A* conf
Data Parameters: A New Family of Parameters for Learning a Differentiable Curriculum.
NeurIPS
Shreyas Saxena, Oncel Tuzel, Dennis DeCoste
2019 — conf
Learning Conditional Error Model for Simulated Time-Series Data.
CVPR Workshops
Ashish Shrivastava, Oncel Tuzel
2019 A* conf
MVX-Net: Multimodal VoxelNet for 3D Object Detection.
ICRA
Vishwanath A. Sindagi, Yin Zhou, Oncel Tuzel
2019 J jnl
MVX-Net: Multimodal VoxelNet for 3D Object Detection.
CoRR
Vishwanath A. Sindagi, Yin Zhou, Oncel Tuzel
2018 J jnl
Divide, Denoise, and Defend against Adversarial Attacks.
CoRR
Seyed-Mohsen Moosavi-Dezfooli, Ashish Shrivastava, Oncel Tuzel
2018 J jnl
Nonlinear Conjugate Gradients For Scaling Synchronous Distributed DNN Training.
CoRR
Saurabh Adya, Vinay Palakkode, Oncel Tuzel
2018 A* conf
VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection.
CVPR
Yin Zhou, Oncel Tuzel
2017 J jnl
Attentional Network for Visual Object Detection.
CoRR
Kota Hara, Ming-Yu Liu, Oncel Tuzel, Amir-massoud Farahmand
2017 A* conf
Learning from Simulated and Unsupervised Images through Adversarial Training.
CVPR
Ashish Shrivastava, Tomas Pfister, Oncel Tuzel, Joshua Susskind, Wenda Wang, Russell Webb
2017 J jnl
VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection.
CoRR
Yin Zhou, Oncel Tuzel
2016 A* conf
A Multi-stream Bi-directional Recurrent Neural Network for Fine-Grained Action Detection.
CVPR
Bharat Singh, Tim K. Marks, Michael J. Jones, Oncel Tuzel, Ming Shao
2016 — conf
Coupled Generative Adversarial Networks.
NIPS
Ming-Yu Liu, Oncel Tuzel
2016 J jnl
Coupled Generative Adversarial Networks.
CoRR
Ming-Yu Liu, Oncel Tuzel
2016 A* conf
Deep Gaussian Conditional Random Field Network: A Model-Based Deep Network for Discriminative Denoising.
CVPR
Raviteja Vemulapalli, Oncel Tuzel, Ming-Yu Liu
2016 A* conf
Gaussian Conditional Random Field Network for Semantic Segmentation.
CVPR
Raviteja Vemulapalli, Oncel Tuzel, Ming-Yu Liu, Rama Chellappa
2016 J jnl
Global-Local Face Upsampling Network.
CoRR
Oncel Tuzel, Yuichi Taguchi, John R. Hershey
2016 — conf
High-accuracy user identification using EEG biometrics.
EMBC
Toshiaki Koike-Akino, Ruhi Mahajan, Tim K. Marks, Ye Wang, Shinji Watanabe, Oncel Tuzel, Philip V. Orlik
2016 J jnl
Learning from Simulated and Unsupervised Images through Adversarial Training.
CoRR
Ashish Shrivastava, Tomas Pfister, Oncel Tuzel, Josh Susskind, Wenda Wang, Russell Webb
2016 — conf
R-CNN for Small Object Detection.
ACCV (5)
Chenyi Chen, Ming-Yu Liu, Oncel Tuzel, Jianxiong Xiao
2016 — conf
Robust Face Alignment Using a Mixture of Invariant Experts.
ECCV (5)
Oncel Tuzel, Tim K. Marks, Salil Tambe
2016 A conf
Unsupervised network pretraining via encoding human design.
WACV
Ming-Yu Liu, Arun Mallya, Oncel Tuzel, Xi Chen
2015 J jnl
Deep Gaussian Conditional Random Field Network: A Model-based Deep Network for Discriminative Denoising.
CoRR
Raviteja Vemulapalli, Oncel Tuzel, Ming-Yu Liu
2015 J jnl
Deep Hierarchical Parsing for Semantic Segmentation.
CoRR
Abhishek Sharma, Oncel Tuzel, David W. Jacobs
2015 A* conf
Deep hierarchical parsing for semantic segmentation.
CVPR
Abhishek Sharma, Oncel Tuzel, David W. Jacobs
2015 J jnl
Efficient Upsampling of Natural Images.
CoRR
Chinmay Hegde, Oncel Tuzel, Fatih Porikli
2015 — conf
Layered Interpretation of Street View Images.
Robotics: Science and Systems
Ming-Yu Liu, Shuoxin Lin, Srikumar Ramalingam, Oncel Tuzel
2015 J jnl
Layered Interpretation of Street View Images.
CoRR
Ming-Yu Liu, Shuoxin Lin, Srikumar Ramalingam, Oncel Tuzel
2015 J jnl
Robust Face Alignment Using a Mixture of Invariant Experts.
CoRR
Oncel Tuzel, Salil Tambe, Tim K. Marks
2014 A conf
Detecting 3D geometric boundaries of indoor scenes under varying lighting.
WACV
Jie Ni, Tim K. Marks, Oncel Tuzel, Fatih Porikli
2014 J jnl
Entropy-Rate Clustering: Cluster Analysis via Maximizing a Submodular Function Subject to a Matroid Constraint.
IEEE Trans. Pattern Anal. Mach. Intell.
Ming-Yu Liu, Oncel Tuzel, Srikumar Ramalingam, Rama Chellappa
2014 — conf
Learning to Rank 3D Features.
ECCV (1)
Oncel Tuzel, Ming-Yu Liu, Yuichi Taguchi, Arvind Raghunathan
2014 — conf
Recursive Context Propagation Network for Semantic Scene Labeling.
NIPS
Abhishek Sharma, Oncel Tuzel, Ming-Yu Liu
2014 J jnl
Semi-Supervised Kernel Mean Shift Clustering.
IEEE Trans. Pattern Anal. Mach. Intell.
Saket Anand, Sushil Mittal, Oncel Tuzel, Peter Meer
2013 A* conf
Joint Geodesic Upsampling of Depth Images.
CVPR
Ming-Yu Liu, Oncel Tuzel, Yuichi Taguchi
2012 J jnl
Compressed Inference for Probabilistic Sequential Models
CoRR
Gungor Polatkan, Oncel Tuzel
2012 J jnl
Fast object localization and pose estimation in heavy clutter for robotic bin picking.
Int. J. Robotics Res.
Ming-Yu Liu, Oncel Tuzel, Ashok Veeraraghavan, Yuichi Taguchi, Tim K. Marks, Rama Chellappa
2012 — conf
Motion-Aware Structured Light Using Spatio-Temporal Decodable Patterns.
ECCV (5)
Yuichi Taguchi, Amit K. Agrawal, Oncel Tuzel
2012 B conf
Variable focus video: Reconstructing depth and video for dynamic scenes.
ICCP
Nitesh Shroff, Ashok Veeraraghavan, Yuichi Taguchi, Oncel Tuzel, Amit K. Agrawal, Rama Chellappa
2012 A* conf
Voting-based pose estimation for robotic assembly using a 3D sensor.
ICRA
Changhyun Choi, Yuichi Taguchi, Oncel Tuzel, Ming-Yu Liu, Srikumar Ramalingam
2011 A conf
Compressed Inference for Probabilistic Sequential Models.
UAI
Gungor Polatkan, Oncel Tuzel
2011 A* conf
Entropy rate superpixel segmentation.
CVPR
Ming-Yu Liu, Oncel Tuzel, Srikumar Ramalingam, Rama Chellappa
2011 A* conf
Finding a needle in a specular haystack.
ICRA
Nitesh Shroff, Yuichi Taguchi, Oncel Tuzel, Ashok Veeraraghavan, Srikumar Ramalingam, Haruhisa Okuda
2010 A* conf
Fast directional chamfer matching.
CVPR
Ming-Yu Liu, Oncel Tuzel, Ashok Veeraraghavan, Rama Chellappa
2010 — conf
Image Invariants for Smooth Reflective Surfaces.
ECCV (2)
Aswin C. Sankaranarayanan, Ashok Veeraraghavan, Oncel Tuzel, Amit K. Agrawal
2010 A* conf
Pose estimation in heavy clutter using a multi-flash camera.
ICRA
Ming-Yu Liu, Oncel Tuzel, Ashok Veeraraghavan, Rama Chellappa, Amit K. Agrawal, Haruhisa Okuda
2010 A* conf
Specular surface reconstruction from sparse reflection correspondences.
CVPR
Aswin C. Sankaranarayanan, Ashok Veeraraghavan, Oncel Tuzel, Amit K. Agrawal
2009 — conf
A caGrid-Enabled, Learning Based Image Segmentation Method for Histopathology Specimens.
ISBI
David J. Foran, Lin Yang, Oncel Tuzel, Wenjin Chen, Jun Hu, Tahsin M. Kurç, Renato Ferreira, Joel H. Saltz
2009 A* conf
Kernel methods for weakly supervised mean shift clustering.
ICCV
Oncel Tuzel, Fatih Porikli, Peter Meer
2009 J jnl
PathMiner: A Web-Based Tool for Computer-Assisted Diagnostics in Pathology.
IEEE Trans. Inf. Technol. Biomed.
Lin Yang, Oncel Tuzel, Wenjin Chen, Peter Meer, Gratian Salaru, Lauri A. Goodell, David J. Foran
2008 — conf
Automatic Image Analysis of Histopathology Specimens Using Concave Vertex Graph.
MICCAI (1)
Lin Yang, Oncel Tuzel, Peter Meer, David J. Foran
2008 A* conf
Learning on lie groups for invariant detection and tracking.
CVPR
Oncel Tuzel, Fatih Murat Porikli, Peter Meer
2008 J jnl
Pedestrian Detection via Classification on Riemannian Manifolds.
IEEE Trans. Pattern Anal. Mach. Intell.
Oncel Tuzel, Fatih Porikli, Peter Meer
2007 J jnl
Classification of hematologic malignancies using texton signatures.
Pattern Anal. Appl.
Oncel Tuzel, Lin Yang, Peter Meer, David J. Foran
2007 A* conf
Human Detection via Classification on Riemannian Manifolds.
CVPR
Oncel Tuzel, Fatih Porikli, Peter Meer
2006 — conf
Covariance Tracking using Model Update Based on Lie Algebra.
CVPR (1)
Fatih Porikli, Oncel Tuzel, Peter Meer
2006 B conf
Fast Construction of Covariance Matrices for Arbitrary Size Image Windows.
ICIP
Fatih Porikli, Oncel Tuzel
2006 — conf
Region Covariance: A Fast Descriptor for Detection and Classification.
ECCV (2)
Oncel Tuzel, Fatih Porikli, Peter Meer
2005 — conf
A Bayesian Approach to Background Modeling.
CVPR Workshops
Oncel Tuzel, Fatih Murat Porikli, Peter Meer
2005 — conf
Bayesian background modeling for foreground detection.
VSSN@MM
Fatih Porikli, Oncel Tuzel
2005 A conf
Multi-Kernel Object Tracking.
ICME
Fatih Porikli, Oncel Tuzel
2005 — conf
Object tracking in low-frame-rate video.
Electronic Imaging: Image and Video Communications and Processing
Fatih Porikli, Oncel Tuzel
2005 A* conf
Simultaneous Multiple 3D Motion Estimation via Mode Finding on Lie Groups.
ICCV
Oncel Tuzel, Raghav Subbarao, Peter Meer